Analytics Engineering Manager

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace.

We’re looking for an Analytics Engineering Manager to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you’ll lead a team of Analytics Engineers embedded in a key business domain, owning the pipelines, models and metrics that power day-to-day decisions and building the data foundations your stakeholders rely on.

Analytics Engineering is a core pillar of Deliveroo’s Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning.

The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across a defined business domain, directly managing a team of Analytics Engineers and helping shape AE standards, culture and direction across the wider org.

Ship, test and improve ideas quickly in a low-hierarchy, high-ownership

environment.

🧠Grow through challenge and ownership

Take on big, ambiguous problems and accelerate your career with strong support.

🌎A culture built for builders

High standards, collaboration, flexible working and continuous learning.

💰 Share in the success you help create

Competitive salary and equity options, so you’re rewarded for the impact you make.

• Experience in an Analytics Engineering, BI Engineering, or Data Engineering role, with strong, hands-on SQL foundations you still draw on regularly
• Proven experience managing a team of ICs, with a track record of developing people, giving hard feedback, and handling typical team situations independently
• Demonstrated ability to own a technical roadmap for a domain area and deliver against it with measurable business impact
• Strong grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on technical decisions and unblock your team
• Comfortable engaging and influencing at senior business and product level, with experience aligning analytics investment to domain priorities
• Experience in a marketplace, e-commerce, grocery or retail analytics context
• Familiarity with semantic and metrics layer tooling, or Python for data automation and pipeline work
• Exposure to AI for Data, including agentic AI methods, semantic layers, or AI-assisted analytics workflows
• Experience contributing to analytics ways of working: documentation standards, peer review processes, onboarding, and knowledge sharing

At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.

We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:

🔧 Solve meaningful problems at real scale

Work on a complex, always-on marketplace that impacts millions every day.